Document Type : Original Article
Authors
1
Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
2
Department of Developmental Biology, University of Science and Culture, Tehran, Iran
3
Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
4
Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
5
Department of Molecular Systems Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
6
Advanced Therapy Medicinal Product Technology Development Center (ATMP-TDC), Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
Abstract
Objective: Spinal cord injury (SCI) can disrupt membrane transmission by affecting transmembrane channels or
neurotransmitter release. This study aimed to explore gene expression changes of transmembrane proteins underlying
SCI through bioinformatics approaches and confirming in SCI model in rats.
Materials and Methods: In this experimental study, the differentially expressed genes (DEGs) in acute and subacute
SCI were obtained based on microarray data downloaded from the gene expression omnibus (GEO). Transmembrane
proteins of DEGs were recognized by using the UniProt annotation and transmembrane helices prediction (TMHMM)
methods. The model of SCI was established through a weight-dropping procedure in rats. To confirm the SCI model,
hematoxylin and eosin (H&E) staining was performed. Total mRNA was extracted from spinal cord tissues, and the RNA
expression profile of some of the significantly changed genes in the previous part that has been confirmed by real-time
polymerase chain reaction (PCR). Blood was collected from rats before sacrificing. Extracellular vesicles (EVs) were
isolated by high-speed centrifugation from plasma. For the assessment of protein expression, western blotting was
used.
Results: Based on bioinformatics analysis, we candidated a set of membrane proteins in SCI’s acute and sub-acute
phases, and confirmed significant upregulation in Grm1, Nrg1, CD63, Enpp3, and Cxcr4 between the acute and control
groups and downregulation in Enpp3 between acute and subacute groups at the RNA level. Considering CD63 as an
EV marker, we examined the protein expression of CD9 and CD63 in the plasma-derived EVs, and CD9 has significant
expression between acute and control groups. We also demonstrate no significant CD63 and Cxcr4 expressions
between groups.
Conclusion: Our results provide new insight into the relationship between candidate transmembrane protein expression
and different stages of SCI using in-silico approaches. Also, results show the release of EVs in blood in each group after
SCI helping enlarge strategies to enhance recovery following SCI.
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